Blog - Page 15 of 57 - The WebScale Database Infrastructure Operations Experts in PostgreSQL, MySQL, MariaDB, MongoDB and ClickHouse

Enable or Disable Adaptive Hash Indexing in MySQL?

Introduction Deciding whether to enable or disable Adaptive Hash Indexing (AHI) in MySQL involves a careful evaluation of your database's workload characteristics and performance metrics. AHI can significantly speed up read operations for certain types [...]

How to Configure the Number of Background InnoDB I/O Threads in MySQL 8 for Performance?

Introduction In MySQL, configuring the number of background InnoDB I/O threads is crucial for performance optimization, especially on servers with multiple cores and high I/O capacity. InnoDB uses background threads for tasks like flushing dirty [...]

How do InnoDB Parallel Redo Logs work in MySQL 8?

Introduction Parallel redo logging in InnoDB, introduced in MySQL 8.0, significantly improves write-heavy workload performance. It boosts redo log efficiency, especially on multi-core systems. Here's how it works. Background of Redo Logs in InnoDB Introduction [...]

Optimize PostgreSQL Performance: Strategic Use of SKIP_DATABASE_STATS and ONLY_DATABASE_STATS

Optimize PostgreSQL Performance Configuring SKIP_DATABASE_STATS and ONLY_DATABASE_STATS in PostgreSQL requires careful consideration to optimize PostgreSQL performance and maintain efficient database operations. In summary, while these options can customize backups to suit specific needs, their incorrect [...]

Speed Up Your PostgreSQL 16 Backups with Improved pg_dump

Example: When using pg_dump in PostgreSQL 16, you can specify the compression method: Here, -F c specifies custom-format output, -Z specifies the compression level (1 for LZ4, 3 for ZSTD), and -f specifies the output [...]

Installing and Configuring pgvector in PostgreSQL: A Step-by-Step Guide

Introduction - pgvector in PostgreSQL pgvectorin PostgreSQL is an open-source extension designed to efficiently handle vector data within the database. It's particularly useful for machine learning and similar applications where working with vector data is [...]

Step-by-Step Guide to Migrating from PostgreSQL 11 to 15 Using pg_upgrade

Discover a comprehensive guide on how to seamlessly migrate from PostgreSQL 11 to 15 using the pg_upgrade tool. Our step-by-step tutorial ensures a smooth and efficient database upgrade process with minimal disruption, covering installation, preparation, execution, and post-upgrade steps. Perfect for database administrators looking to upgrade to PostgreSQL 15 with confidence. [...]

Enhancing MySQL 8 on Modern Hardware: A Guide to Tuning InnoDB I/O Threads for Optimal Performance

In this comprehensive guide, we delve into the advanced tuning of `innodb_read_io_threads` and `innodb_write_io_threads` in MySQL 8, specifically tailored for modern hardware infrastructures. We cover essential strategies for incrementally adjusting these settings to harness the full capabilities of SSDs and multi-core processors, ensuring a balanced and efficient use of resources. The guide also emphasizes the importance of monitoring performance metrics to gauge the impact of tuning efforts, while highlighting the need to maintain a balance between read and write operations for optimal database performance. Whether you're dealing with read-intensive or write-heavy workloads, this guide provides actionable insights for optimizing MySQL 8 on the latest hardware technologies. [...]

Troubleshooting PostgreSQL JOIN Performance: A Guide for Query Optimization

PostgreSQL environment is unique, so these guidelines should be adapted and tested according to your specific context. Regular monitoring and a thorough understanding of your data and query patterns are key to maintaining optimal JOIN performance. [...]

Troubleshooting PostgreSQL Error 53300: TOO_MANY_CONNECTIONS

When you encounter the 53300: TOO_MANY_CONNECTIONS error in PostgreSQL, it indicates that your database has reached its maximum configured limit for simultaneous connections. This can happen due to high traffic, inefficient application design, or insufficient configuration settings. [...]